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中文摘要：
在雷达和电子支援（ESM）传感器异地配置的情况下，提出了一种基于位置统计量和最大似然准则的异类传感器航迹关联算法。首先基于位置统计量对目标进行了航迹粗关联，排除掉一些虚假关联组合；然后采用最大似然准则对目标进行了航迹细关联，以求进一步提高雷达和ESM传感器航迹关联的检测概率。仿真结果表明，该算法能够快速、准确地完成对多目标的航迹关联。
英文摘要：
When the radar and ESM （electronic support measure） sensors are located at different sites, a heterogeneous track association algorithm is proposed based on positional statistics and maximum likelihood principle. For this method, coarse track association based on positional statistics is used to eliminate some obvious false association firstly, and then the measurements from different sensors are further associated by using the maximum likelihood principle to improve the detection probability of radar and ESM sensors. Simulation results show that multiple track association can be finished quickly and effectively by the proposed method.
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